Staff Engineer - AI
About The Position
As a Staff Engineer in our AI and Robotics org, you will build a food agent, a personalized meal planning and nutrition product that blends LLM-driven recommendations, health-aligned goal setting, and agentic ordering. You'll shape technical strategy, make key architectural calls, and personally drive high-complexity work from design through production. This role is for someone who has built AI agents and LLM-powered products before, ideally as a founder, founding engineer, or early-stage technical leader, and who is deeply curious about how these systems actually behave at scale. This is not a planning role: you'll write code, review code, and ship code every day.
Requirements
- 8+ years of professional software engineering experience, with at least 3 years building and shipping AI or ML-driven systems in production
- Deep distributed systems expertise. You've architected infrastructure that handles high-throughput, low-latency workloads at scale
- Hands-on experience building AI agents, LLM-powered features, or agentic workflows in production. You've worked with retrieval pipelines, prompt orchestration, embedding-based systems, and model evaluation
- Prior experience as a founder, founding engineer, or early-stage technical leader at a startup. You know what it takes to build from zero with limited resources
- Proficiency with backend development frameworks and cloud infrastructure. Familiarity with Python, TypeScript, and modern ML tooling
- Strong system design skills with a track record of shipping scalable, production-grade software under real constraints
- A degree in Computer Science, Data Science, or a related technical field (or equivalent experience)
Responsibilities
- Define and drive the technical roadmap for our AI food agent, spanning recommendation, personalization, agentic ordering, and health-aligned meal planning
- Architect and scale distributed infrastructure for real-time retrieval, vector search, multi-modal inference, and LLM orchestration.
- Serve as technical decision-maker for architectural choices with product-wide scope: data pipelines, model serving, prompt orchestration, RAG, fallback logic, and evaluation frameworks
- Establish evaluation and experimentation infrastructure: evals, benchmarks, scoring criteria, A/B testing pipelines, and feedback loops that make the AI measurably better over time
Benefits
- equity
- 401K
- multiple medical, dental, and vision plans
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What This Job Offers
Job Type
Full-time
Career Level
Senior
